About

Anurag Chatterjee is a skilled data and machine learning engineer with over 5 years of experience in software development, data engineering, and ML engineering. He has worked in the CRM and fintech domains and has mentored junior engineers, raised the overall productivity of the agile team, and taken on additional responsibilities as required by the project. Anurag is proficient in several technologies, including Python (Pandas, Numpy, Scikit-learn), machine learning (NLTK, Keras, Tensorflow), Spark, Airflow, Hadoop ecosystem, C#, core Java, Scala, MLFlow, Elasticsearch, Jenkins, Docker, REST API development, and is AWS certified. He is also experienced in the .Net and Microsoft technology stack (Sharepoint, Dynamics, PowerBI). Currently, Anurag works as a Senior Data Engineer at Rakuten, where he creates robust batch data pipelines using Spark (in Scala), Hadoop, Hive, Python, Bash scripts, custom Java applications, and Azkaban jobs to send data feeds of millions of product details to major Ad publishers. He also develops lightweight API clients to integrate into the data pipeline, performs ad hoc data analysis, and is the technical contact between Rakuten and customer engineering teams of major publishers such as Google and Criteo. Previously, Anurag has worked as a Data and ML Engineer at DBS Bank, where he developed the back-end and ML model ops framework for an internal Auto ML application, built self-healing ingestion pipelines in AWS and Spark cluster, and optimized query performance, storage, and deletion time of customer transactions stored in MariaDB. He has also worked as a Data Scientist intern at Autodesk, where he implemented a patent proposal to compute transformability between 3D designs created using Autodesk software using deep learning models such as PointNet. Anurag holds a Master of Technology degree in Intelligent Systems from the National University of Singapore, a Bachelor of Engineering degree in Computer Science and Technology from IIEST, and completed his schooling from Apeejay School. He is proficient in several technologies, including ML, data engineering, AWS, Spark, Apache Airflow, Hadoop, Python, Keras, Java, Jenkins, Scikit, Tensorflow, Pandas, Docker, Elastic Search, Scala, and Apache Hive. Anurag has 7.70 years of relevant experience in the field of data engineering and machine learning.